It is projected that global water demand will reach ***** billion cubic meters in terms of withdrawal by 2040. In the last few decades, the growth in water demand has doubled that of population growth. Water demand growth is also likely to vary based on region and sector. Regionally, water demand growth is expected to come mostly from India, Africa, and other developing countries in Asia. The agricultural industry is one of the largest consumers of water worldwide, primarily for irrigation purposes. Trends in water use will be largely dependent on urbanization, rising living standards, demand for goods, and changes in dietary preferences. Water accessibility A vast number of people worldwide still lack access to drinking water sources, while an even larger population has no access to improved sanitation services. In India, over **** million people have no household access to a safe water source. Striving to provide safe water access to these remaining population groups would likely also increase domestic water demand as well as the energy and infrastructure that would need to be put in place to provide these basic needs.

This statistic represents the projected increase in global annual water demand between 2005 and 2030, by region and sector. The European industry's water demand is expected to increase by around 100 billion cubic meters of water in 2030, compared to 2005. In 2015, 92 percent of the world's population are estimated to have access to improved drinking water sources.

This statistic represents the projected water consumption worldwide in 2014 with projections until 2040, broken down by sector. In 2040, it is projected that water consumption under the agricultural sector will reach ***** billion cubic meters worldwide.

Water consumption is indispensable data in the trends and changes of key factors such as the water resource restoration process and water pressure judgment. Due to difficulties in obtaining and varying statistical dimensions, as the spatial scale continues to expand, the least reliable and most inconsistent water consumption also becomes apparent. As a result, the contradiction between the demand for data refinement and the slow development is increasingly expanding. With the innovation of research methods, the transformation from regionalization to rasterization has accelerated, but it has also caused difficulty in unifying conclusions. For this type of complex data, continuous "convergence" research can lead to more reliable results for practical applications. To this end, based on existing sub-national water withdrawal, this study takes into account the idea of the trapezoid model and the development trend of socio-economic indicators, spatially quantifies the utilization coefficient of agricultural water consumption, and corrects and calculates the utilization coefficient of industrial/municipal water consumption. This study not only provides reliable insights into water consumption trends and key shifts in different sectors, but also provides strong support for the boundary constraints of sub-national data. Furthermore, by considering the changing relationship between the development rate and the averageness, the restriction situation of different sectors at the sub-national level was analyzed. Among them, industrial water consumption played a very significant role in achieving the goal of reaching the peak.

The Global Water Consumption Market Report is Divided Into Segments Based On Water Procurement (Potable Water, Non-Potable Water, and Other Alternate Sources), Data Center Type (Enterprise, Colocation, and Cloud Service Providers (CSPs)), and Data Center Size (Mega, Massive, Large, Medium, and Small). The Report Provides Market Size and Forecasts for all These Segments, Measured in Volume (Billion Liters).

China Water Consumption: Industry data was reported at 97,020.000 Cub m mn in 2023. This records an increase from the previous number of 96,840.000 Cub m mn for 2022. China Water Consumption: Industry data is updated yearly, averaging 127,700.000 Cub m mn from Dec 1999 (Median) to 2023, with 25 observations. The data reached an all-time high of 146,180.000 Cub m mn in 2011 and a record low of 96,840.000 Cub m mn in 2022. China Water Consumption: Industry data remains active status in CEIC and is reported by Ministry of Water Resources. The data is categorized under China Premium Database’s Land and Resources – Table CN.NLM: Water Resource.

Water Consumption: Average: per Capita: Central West data was reported at 153.520 l in 2022. This records an increase from the previous number of 147.750 l for 2021. Water Consumption: Average: per Capita: Central West data is updated yearly, averaging 148.750 l from Dec 2012 (Median) to 2022, with 11 observations. The data reached an all-time high of 160.680 l in 2013 and a record low of 144.880 l in 2018. Water Consumption: Average: per Capita: Central West data remains active status in CEIC and is reported by Ministry of Cities. The data is categorized under Brazil Premium Database’s Environmental, Social and Governance Sector – Table BR.EVB005: Operational Indicators: Water Consumption Indicators.

More than 2.9 billion cubic meters of water was consumed worldwide in 2023 by the Michigan-based company Dow Chemical. This figure includes some 1.7 billion metric tons of freshwater intake.

The spatially distributed industrial water use dataset is created using a Random forest regression model at 0.50 resolution. The file contains the input and output datasets, explained in each folder in the 'README.txt' file. It also includes the Python codes created while preparing the datasets.

China Water Consumption: Agriculture data was reported at 367,240.000 Cub m mn in 2023. This records a decrease from the previous number of 378,130.000 Cub m mn for 2022. China Water Consumption: Agriculture data is updated yearly, averaging 372,311.458 Cub m mn from Dec 1999 (Median) to 2023, with 25 observations. The data reached an all-time high of 392,151.876 Cub m mn in 2013 and a record low of 343,281.297 Cub m mn in 2003. China Water Consumption: Agriculture data remains active status in CEIC and is reported by Ministry of Water Resources. The data is categorized under China Premium Database’s Land and Resources – Table CN.NLM: Water Resource.

Assessing global freshwater resources and human water demand is of value for a number of needs but challenging. The global water use and water availability model WaterGAP is in development since 1996 and serves a range of applications and topics as such as Life Cycle Assessments, a better understanding of terrestrial water storage variations (e.g., jointly with satellite observations), water (over)use and consequently depletion of water resources, as well as model evaluation and model development. In the paper connected to this dataset, the newest model version, WaterGAP 2.2d is described by providing the water balance equations, insights to input data used and typical model applications. The most important and requested model outputs (total water storage variations, streamflow and water use) are evaluated against observation data. Standard model output is described and the reader is guided to the location where those data can be downloaded. Caveats of specific output data and an overview of model applications as well as an outlook of future model development lines are presented as well.

Representative variables for water demand from different sectors.

About:

The dataset constitutes the first reconstructed global water use data product at sub-annual and sub-national/gridded resolution that is derived from different models and data sources; it was generated by spatially and temporally downscaling country-scale estimates of sectoral water withdrawals from FAO AQUASTAT (and state-scale estimates of USGS for the US). In addition, the industrial sector was disaggregated into manufacturing, mining and cooling of thermal power plants by using historical estimates from GCAM. Downscaling was performed using the output of various models and new modeling approaches, which includes the spatial and temporal downscaling methodologies for water withdrawal in previous studies (Wada et al., 2011; Voisin et al., 2013; Hejazi et al., 2014). For the consumptive water use, irrigation water consumption is reconstructed based on estimates by 4 GHMs and consumptive water use efficiency (the proportion of water consumption to water withdrawal), which is calculated based on simulation of Flörke et al (2013) and USGS estimates, is used to generated global consumptive water use for the remaining sector. Therefore, a global monthly gridded (0.5 degree) sectoral water use dataset for the period 1971–2010, which distinguishes six water use sectors, i.e. irrigation, domestic, electricity generation (cooling of thermal power plants), livestock, mining, and manufacturing, was reconstructed. The detailed descriptions for this dataset are presented in Huang et al. (in review).

Water withdrawals per capita in Turkmenistan amount to 2,740 cubic meters per inhabitant, according to the latest available data from 2021. This is a far higher volume than in many other countries, such as China, where per capita water withdrawals were 398.7 cubic meters as of 2021. Global water withdrawals Countries around the world withdraw huge volumes of water each year from sources such as rivers, lakes, reservoirs, and groundwater. China has some of the largest annual total water withdrawals across the globe, at 581.3 billion cubic meters per year. In comparison, Mexico withdrew almost 90 billion cubic meters of water in 2021. Water scarcity Although roughly 70 percent of Earth's surface is covered with water, less than one percent of the planet's total water resources can be classified as accessible freshwater resources. Growing populations, increased demand, and climate change are increasingly putting pressure on these precious resources. This is expected to lead to global water shortages around the world. In the United States, the megadrought in the west has seen water levels of major reservoirs that provide water to millions of people plummet to record lows. In order to prevent severe droughts in water-stressed areas today and in the future, a more efficient use of water is essential.

River basins or hydrologic units are often the spatial unit used for aggregating and analyzing components of the water cycle such as precipitation, runoff, riverine discharge, etc. The hydroSHEDS dataset, derived from the Shuttle Radar Topography Mission, are the most commonly used global hydrologic unit for these analyses. But when planning water use or gaps, political boundaries need to be considered. Water provinces (Straatsma et al 2020) provide a much more realistic hydrologic unit for such purposes.Esri’s World Administration Divisions (2011) defines 3,300 subnational units. Areas less than 150,000 sq km were aggregated into 1,099 regions. The water provinces were then calculated by overlaying these regions with the major basins from hydroSHEDS. After sliver polygons were removed, the result was 1,604 unique units based on river basins but constrained by political boundaries. These water provinces provide a suitable unit for longterm water use planning, especially at local scales.A more detailed description can be accessed here.

Brazil Water Consumption: Micromeasured data was reported at 10.500 Cub m in 2022. This records a decrease from the previous number of 10.870 Cub m for 2021. Brazil Water Consumption: Micromeasured data is updated yearly, averaging 11.300 Cub m from Dec 2012 (Median) to 2022, with 11 observations. The data reached an all-time high of 13.240 Cub m in 2012 and a record low of 10.500 Cub m in 2022. Brazil Water Consumption: Micromeasured data remains active status in CEIC and is reported by Ministry of Cities. The data is categorized under Brazil Premium Database’s Environmental, Social and Governance Sector – Table BR.EVB005: Operational Indicators: Water Consumption Indicators.

Globally gridded dataset of biological oxygen demand (BOD) in surface water for the years 1992-2010, monthly observations. Data is available at the 0.5x0.5 degree gridcell level. Units are milligram per liter (mg/l). Data is generated using a machine learning model, as described in the report Quality Unknown: The Invisible Water Crisis (https://www.worldbank.org/en/news/feature/2019/08/20/quality-unknown). See report Appendix for more details.

The Global Water Enhancer Market size was valued at USD 2.74 billion in 2023 and is projected to reach USD 5.27 billion by 2032, exhibiting a CAGR of 9.8 % during the forecasts period. Water enhancers are a category of products designed to add flavor and, in some cases, nutritional benefits to plain water. These enhancers come in various forms, such as liquid drops, powders, and tablets, and are intended to make water consumption a more enjoyable and refreshing experience. They are particularly popular among individuals who find it challenging to meet their daily water intake requirements due to the bland taste of water. Water enhancers can range from simple flavor additives to complex formulations containing vitamins, minerals, and electrolytes for added health benefits. The appeal of water enhancers lies in their convenience and the ability to customize the flavor intensity to one's preference. They are often low in calories and sugar, making them an attractive alternative to sugary beverages like sodas and juices. Some water enhancers also include caffeine for an energy boost or electrolytes to support hydration, especially useful for athletes or those engaging in intense physical activities. However, it's essential to read the ingredient labels, as some enhancers may contain artificial sweeteners or preservatives that consumers might wish to avoid.

The industrial and energy sectors in Asia demanded approximately 316,000 cubic meters of water only in 2010, and this figure is expected to double by 2050, when the water consumption from these sectors reaches some 760,000 cubic meters annually.

The Global Demographic Data collection holds global gridded data products describing demographic information and water demand in relation to population data. Currently, water demand data are being distributed; population data will be added in the near future.

Country-level urban, rural and total population estimate data from World Resources Institute (WRI) for the years 1985, 1995, and 2025 were gridded by the University of New Hampshire's Water Systems Analysis Groupusing methods outlined in Vorosmarty et al. (2000) for use in estimating global water resources based on climate and population changes.

Currently available are five relative water demand (RWD) fraction data sets/ maps, produced by Vorosmarty et al. in their analysis of future water resources. The relative water demand is defined to be the total volume of water used either domestically, industrially or agriculturally (DIA) divided by the water discharge (Q). "Values of .2 to .4 indicate medium to high stress." (see Vorosmarty et al., 2000) This analysis deals only with sustainable water sources, and does not look at nonsustainable water sources, such a ground water mining. The RWD is computed on a .5 by .5 degree grid for two sentinel years: 1985 and 2025, which are two of the data sets. The ratio of the RWD for these two years provides a measure of change under scenarios of climate change only, population change only and the combination of climate change and population to produce the other three datasets. The ratio RWD values is relative to the RWD in the base year, 1985.